Lessons from building operations intelligence for multi-unit restaurants.
Part 11 of The Pivot Chronicles: We spent two years building tools for store managers. None of them stuck. Then we noticed the one thing our pilot customer actually read every week — and it changed everything.
Part 10 of The Pivot Chronicles: If I had to start over tomorrow and get 10 paying customers in 30 days, almost everything I've built so far would be irrelevant. Not because it wasn't good—but because it wasn't anchored.
Part 9 of The Pivot Chronicles: We were shipping fast and it felt amazing. The only problem? None of it mattered. We weren't shipping to customers—we were shipping to ourselves.
Part 8 of The Pivot Chronicles: $0 in revenue is a gift. It doesn't feel like one when you're living it—but it tells the truth in a way numbers never can. Silence is data.
Part 7 of The Pivot Chronicles: We built five different products. Each one smarter, faster, and simpler than the last. And almost none of them had real customer engagement.
Part 6 of The Pivot Chronicles: Simplicity scales. The easier it is to start, the higher the odds it sticks. How we turned operations software into a daily ritual through behavioral design.
Part 5 of The Pivot Chronicles: What if we stripped everything away? No uploads, no dashboards, no AI. Just three critical questions delivered via email every morning. Can radical simplicity create the habits that sophistication couldn't?
Part 4 of The Pivot Chronicles: Innovation isn't about what's possible. It's about what's easy. How we learned that friction kills adoption faster than any missing feature.
Part 3 of The Pivot Chronicles: Finally, a tangible problem! Health code violations, safety issues, cleanliness. We built AWS Rekognition, PPE detection, the works. Why impressive tech still wasn't enough.
Part 2 of The Pivot Chronicles: We thought employee engagement was the answer. Built surveys, dashboards, and scoring. Learned that another analytics dashboard wasn't going to win.
Part 1 of The Pivot Chronicles: How we built beautiful predictive retention analytics that nobody wanted. A brutally honest look at mistaking polite interest for product-market fit.
The technical story behind building PeakOps from first commit to multi-tenant platform. Architecture decisions, integration challenges, and what it actually takes to build something real.
Both bad reviews and compliance failures cost money. But tackling them in the right order changes everything. One gives you quick wins; the other bogs you down in committees.
Occasional updates on what we're building and what we're learning about multi-unit restaurant operations.
Start a 30-day pilot. We'll connect your data, generate your first weekly briefs, and you'll see which locations need attention before it gets expensive.
Start Your Pilot →No credit card. No store-level setup. Briefs start within one week.
